Résultats de la recherche - "Données"

1

Big data et machine learning : les concepts et les outils de la data science

Big data et machine learning : les concepts et les outils de la data science

par Lemberger, Pirmin.
Publié 2019

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2

˜Les œdata sciences en 100 questions-réponses

Les data sciences en 100 questions-réponses

par Benzaki, Younes.
Publié 2020

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E-Book

3

Data science : concepts and practice

Data science : concepts and practice

par Kotu, Vijay.
Publié 2018

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4

Recherche d'information : applications, modèles et algorithmes : fouille de données, décisionnel et big data

Recherche d'information : applications, modèles et algorithmes : fouille de données, décisionnel et big data

par Amini, Massih-Reza, 19..-
Publié 2013

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5

Predictive analytics and data mining : concepts and practice with Rapidminer

Predictive analytics and data mining : concepts and practice with Rapidminer

par Kotu, Vijay.
Publié 2015

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6

Python pour le data scientist : des bases du langage au machine learning

Python pour le data scientist : des bases du langage au machine learning

par Jakobowicz, Emmanuel, 1980-
Publié 2021

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7

Mathematica Data Analysis : learn and explore the fundamentals of data anlysis with the power of Mathematica

Mathematica Data Analysis : learn and explore the fundamentals of data anlysis with the power of Mathematica

par Suchok, Sergiy.
Publié 2015

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8

Data mining : concepts and techniques

Data mining : concepts and techniques

par Han, Jiawei.
Publié 2012

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E-Book

9

Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks

Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks

par Menshawy, Ahmed.
Publié 2018

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10

Advanced analytics with R and Tableau : advanced visual analytical solutions for your business

Advanced analytics with R and Tableau : advanced visual analytical solutions for your business

par Stirrup, Jen.
Publié 2017

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E-Book

11

Pentaho Data Integration : beginner's guide : get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide

Pentaho Data Integration : beginner's guide : get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide

par Roldán, María Carina, 1970-
Publié 2013

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E-Book

12

Pentaho data integration 4 cookbook : over 70 recipes to solve ETL problems using Pentaho Kettle

Pentaho data integration 4 cookbook : over 70 recipes to solve ETL problems using Pentaho Kettle

par Pulvirenti, Adrián Sergio, 1972-
Publié 2011

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13

Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation

Java data mining : strategy, standard, and practice : a practical guide for architecture, design, and implementation

par Hornick, Mark F.
Publié 2010

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14

Data science with Jupyter : master data science skills with easy-to-follow Python examples

Data science with Jupyter : master data science skills with easy-to-follow Python examples

par Gupta, Prateek.
Publié 2019

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15

Using OpenRefine : the essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the Web

Using OpenRefine : the essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the Web

par Verborgh, Ruben.
Publié 2013

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16

Data analysis in the cloud : models, techniques and applications

Data analysis in the cloud : models, techniques and applications

par Talia, Domenico, 19..-
Publié 2015

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17

Machine learning : expert techniques to tackle complex machine learning problems using Python

Machine learning : expert techniques to tackle complex machine learning problems using Python

par Thanaki, Jalaj.
Publié 2018

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18

R and data mining : examples and case studies

R and data mining : examples and case studies

par Zhao, Yanchang, 1977-
Publié 2012

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19

Data mining and statistics for decision making

Data mining and statistics for decision making

par Tufféry, Stéphane, 1965-
Publié 2011

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E-Book

20

Pentaho 3.2 data integration : beginner's guide : explore, transform, validate, and integrate your data with ease

Pentaho 3.2 data integration : beginner's guide : explore, transform, validate, and integrate your data with ease

par Roldán, María Carina, 1970-
Publié 2010

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21

Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models

Learning data mining with Python : harness the power of Python to analyze data and create insightful predictive models

par Layton, Robert, 19..-...., informaticien.
Publié 2015

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22

Data mining applications with R

Data mining applications with R

par Zhao, Yanchang, 1977-
Publié 2013

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23

Current topics in computational molecular biology

Current topics in computational molecular biology

Publié 2002

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Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1